Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 486)
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Table of contents (7 chapters)
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Front Matter
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Background of video rate-quality optimisation
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Front Matter
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Nonlinear signal processing approaches to video rate-quality optimisation
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Front Matter
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Back Matter
Keywords
About this book
In Part I (Chapters 1 to 4) the non-stationarity of digital video is discussed. Since the non-stationary nature is also inherited from algorithmic properties of international video coding standards, which are a combination of statistical coding techniques, the video rate management techniques of these standards are explored. Although there is a series of known video rate control techniques, such as picture rate variation, frame dropping, etc., these techniques do not view the matter as an optimization between rate and quality. From the view of rate-quality optimization, the quantizer is the sole means of controling rate and quality. Thus, quantizers and quantizer control techniques are analyzed, based on the relationship of rate and quality.
In Part II (Chapters 5 and 6), as a coherent approach to non-stationary video, established but still thriving nonlinear techniques are applied to video rate-quality optimization such as artificial neural networks including radical basis function networks, and fuzzy logic-based schemes. Conventional linear techniques are also described before the nonlinear techniques are explored. By using these nonlinear techniques, it is shown how they influence and tackle the rate-quality optimization problem. Finally, in Chapter 7 rate-quality optimization issues are reviewed in emerging video communication applications such as video transcoding and mobile video. This chapter discusses some new issues and prospects of rate and quality control in those technology areas.
Rate-Quality Optimized Video Coding is an excellent reference and can be used for advanced courses on the topic.
Authors and Affiliations
Bibliographic Information
Book Title: Rate-Quality Optimized Video Coding
Authors: Yoo-Sok Saw
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-5125-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1999
Hardcover ISBN: 978-0-7923-8376-5Published: 30 November 1998
Softcover ISBN: 978-1-4613-7332-2Published: 04 October 2012
eBook ISBN: 978-1-4615-5125-6Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XXV, 183
Topics: Signal, Image and Speech Processing, Electrical Engineering, Multimedia Information Systems, Image Processing and Computer Vision